Design and Implementation of the Middle School Students' Composition Grading System Based on SVM

Abstract

Now the traditional composition score required a large number of manpower material resources. And the marking quality is greatly influenced by subjective factors. Combined with the present popular technology-Machine Learning and the Text Classification, studied the middle school essay grading system based on support vector machine (SVM). The software system use the crawler to climb a scale middle school students' composition as the training set and the test set from the website, then participle, segmentation sentences and extract the features, use the support vector machine algorithm train the grading model and build a classifier by features, then we use the classification model to predict the test sample or Judge an unknown level article. The experiment results show that this method has a bit feasibility and effectiveness.